Add initial FastAPI application and Dockerfile for chatbot integration

agent-api/app.py

@@ -0,0 +1,37 @@
+from fastapi import FastAPI
+from openai import OpenAI
+import os
+
+app = FastAPI()
+
+# DeepSeek OpenAI-compatible endpoint
+client = OpenAI(
+    api_key=os.getenv("DEEPSEEK_API_KEY"),
+    base_url="https://api.deepseek.com"
+)
+
+@app.post("/v1/chat/completions")
+async def chat(data: dict):
+
+    messages = data["messages"]
+
+    repo_context = """
+    This assistant has access to the repository.
+    Help the user understand the codebase.
+    This repo is building an chatbot, currently still in early stages. The main files are:
+        - app.py: The main FastAPI application that defines the API endpoints and integrates with the Deep seek API.
+        - agent.py: Contains the logic for the chatbot agent, including how it processes messages and generates responses.
+    """
+
+    messages.insert(0, {
+        "role": "system",
+        "content": repo_context
+    })
+
+    response = client.chat.completions.create(
+        model="deepseek-v4-flash",
+        messages=messages,
+        temperature=0.3
+    )
+
+    return response.model_dump()